The coronavirus crisis as tipping point: communicating the environment in a time of pandemic

Mocatta, Gabi; Hawley, Erin

doi:10.1177/1329878x20950030

Cited by 19 publications

(6 citation statements)

References 3 publications

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“…Translation is the process of converting one language into another using a computer. The software used to do this is called a translator [ 8 ]. It is a borderline subject that studies how to use computers to carry out translation between natural languages and its effectiveness depends on human's general understanding of the expression mechanism of natural language and the operability of computer language translation [ 9 ].…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Innovation and Exploration of Computer‐Aided New Media Translation Course Teaching Mode under the Ecological Environment

Zhou

Gao

2022

Journal of Environmental and Public Health

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In order to analyze the innovation of computer new media-aided translation course teaching mode under the ecological environment, this paper introduces the CorpTrans system, which analyzes the practical effect of computer-aided translation system applied in the course teaching, verifies the role of the system in computer-aided translation course teaching, and plays an important role in improving students’ translation ability. At the same time, starting with the development trend of new media environment, the CorpTrans system is used to innovate the teaching mode of computer-aided translation course. The teaching ecology of the comprehensive new media translation curriculum consists of the interaction between the ecological subject of teaching and the ecological environment of teaching. Through the efforts of both teachers and students, high-quality computer-aided translation courses will contribute to cultivating compound translation talents. The innovation of teaching mode needs to be realized by this system, so as to better meet the requirements of improving the teaching level of translation courses.

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Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Innovation and Exploration of Computer‐Aided New Media Translation Course Teaching Mode under the Ecological Environment

Zhou

Gao

2022

Journal of Environmental and Public Health

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“…In the first couple of months of the COVID-19 pandemic, policymakers had limited knowledge about coronavirus and largely relied on data modeling for predictions and decisions. Similarly, owing to the lack of knowledge, there was little consensus among media professionals, public health professionals, and politicians over containment measures [15]. Instead, geopolitical discourses, conspiracy theories, and racial bigotry created significant amounts of noise for officials trying to manage the pandemic [16][17][18][19].…”

Section: Infodemic and Early Stages Of Outbreaksmentioning

confidence: 99%

Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis

Jiang¹,

Chu²,

Sun³

2021

JMIR Infodemiology

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Background During the early stages of the COVID-19 pandemic, developing safe and effective coronavirus vaccines was considered critical to arresting the spread of the disease. News and social media discussions have extensively covered the issue of coronavirus vaccines, with a mixture of vaccine advocacies, concerns, and oppositions. Objective This study aimed to uncover the emerging themes in Twitter users’ perceptions and attitudes toward vaccines during the early stages of the COVID-19 outbreak. Methods This study employed topic modeling to analyze tweets related to coronavirus vaccines at the start of the COVID-19 outbreak in the United States (February 21 to March 20, 2020). We created a predefined query (eg, “COVID” AND “vaccine”) to extract the tweet text and metadata (number of followers of the Twitter account and engagement metrics based on likes, comments, and retweeting) from the Meltwater database. After preprocessing the data, we tested Latent Dirichlet Allocation models to identify topics associated with these tweets. The model specifying 20 topics provided the best overall coherence, and each topic was interpreted based on its top associated terms. Results In total, we analyzed 100,209 tweets containing keywords related to coronavirus and vaccines. The 20 topics were further collapsed based on shared similarities, thereby generating 7 major themes. Our analysis characterized 26.3% (26,234/100,209) of the tweets as News Related to Coronavirus and Vaccine Development, 25.4% (25,425/100,209) as General Discussion and Seeking of Information on Coronavirus, 12.9% (12,882/100,209) as Financial Concerns, 12.7% (12,696/100,209) as Venting Negative Emotions, 9.9% (9908/100,209) as Prayers and Calls for Positivity, 8.1% (8155/100,209) as Efficacy of Vaccine and Treatment, and 4.9% (4909/100,209) as Conspiracies about Coronavirus and Its Vaccines. Different themes demonstrated some changes over time, mostly in close association with news or events related to vaccine developments. Twitter users who discussed conspiracy theories, the efficacy of vaccines and treatments, and financial concerns had more followers than those focused on other vaccine themes. The engagement level—the extent to which a tweet being retweeted, quoted, liked, or replied by other users—was similar among different themes, but tweets venting negative emotions yielded the lowest engagement. Conclusions This study enriches our understanding of public concerns over new vaccines or vaccine development at early stages of the outbreak, bearing implications for influencing vaccine attitudes and guiding public health efforts to cope with infectious disease outbreaks in the future. This study concluded that public concerns centered on general policy issues related to coronavirus vaccines and that the discussions were considerably mixed with political views when vaccines were not made available. Only a small proportion of tweets focused on conspiracy theories, but these tweets demonstrated high engagement levels and were often contributed by Twitter users with more influence.

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“…As noted earlier, the food-related disruptions have been significant in some developing countries, while the efficacy of responses often depends on the quality of ad hoc decisions and international aid ( Bounie et al, 2020 ; Lewin, 2020 ). Importantly, the ability to deal with sectoral supply disruptions is a function of the overall management of the COVID-19 health crisis, as well as the level of success in managing the associated panic, installing trust, and improving the quality of communication and information ( Mocatta and Hawley, 2020 ).…”

Section: Discussion and The Way Forwardmentioning

confidence: 99%

The water-energy-food nexus and COVID-19: Towards a systematization of impacts and responses

Al‐Saidi

Hussein

2021

Science of The Total Environment

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The coronavirus crisis as tipping point: communicating the environment in a time of pandemic

Cited by 19 publications

References 3 publications

[Retracted] Innovation and Exploration of Computer‐Aided New Media Translation Course Teaching Mode under the Ecological Environment

[Retracted] Innovation and Exploration of Computer‐Aided New Media Translation Course Teaching Mode under the Ecological Environment

Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis

The water-energy-food nexus and COVID-19: Towards a systematization of impacts and responses

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